The functioning of the human nervous system and its encoding of sensory inputs into neural spikes has led to development of neuromorphic engineering. From a biological perspective, this system converts the visual pathways of the human retina into spiking behavior of neurons. Many existing systems replicate the behavior of neurons with hybrid approach which involves chemical stimulation, optoelectronic methods, or organic materials. This work is different from existing work by implementing a fully electrical, circuit-level solution. A model was created using fundamental Very Large Scale Integration (VLSI) techniques, LTspice simulations and signal processing with Field programmable gate array (FPGA) and MATLAB through which color is detected and translated into International Commission on Illumination (CIE) standardized signals and corresponding spiking output is produced. The system generates current spikes ranging from 0.5 \(\upmu \) A/cm \(^2\) to 144 \(\upmu \) A/cm \(^2\) using red, green and blue color channels, closely matching with theoretical expected values. This electrical neuromorphic system deepens the understanding of sensory signal processing. It brings out possibilities of compact, scalable and biologically inspired sensory systems without relying on chemical or optical components.